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Lakehouse Solutions Architect - Data & AI

Databricks, Inc.
Greater London, UK
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
www.collegerecruiter.com

Tech stack

Artificial Intelligence Python (Programming Language) Online Transaction Processing Standard Sql Databricks

Job description

Databricks Inc. is seeking a Solutions Architect to join their Lakebase team. This role focuses on enhancing product market fit and driving revenue growth while collaborating with account teams on strategic engagements. Candidates should have over 10 years of OLTP expertise and be proficient in SQL and Python, with experience in major public cloud environments.

The ideal candidate will drive product adoption, build technical credibility with stakeholders, and influence product roadmap through market insights. A commitment to diversity and inclusion is also a key aspect of our company culture.

Requirements

Databricks Inc. is seeking a Solutions Architect to join their Lakebase team. This role focuses on enhancing product market fit and driving revenue growth while collaborating with account teams on strategic engagements. Candidates should have over 10 years of OLTP expertise and be proficient in SQL and Python, with experience in major public cloud environments.

The ideal candidate will drive product adoption, build technical credibility with stakeholders, and influence product roadmap through market insights. A commitment to diversity and inclusion is also a key aspect of our company culture. #J-18808-Ljbffr

Apply for this position

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Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

4:06 min

Using ClickHouse as a foundation for fast analytics

Hellmar Becker Hellmar Becker · World Congress 2026 Europe

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

3:46 min

Core terminology and audiences for interpretable artificial intelligence

Karol Przystalski · LIVE

1:28 min

Building shared Java modules and analyst targeting platforms

Chris Heilmann +2 · LIVE

2:50 min

Executing LoRA fine-tuning using serverless Databricks AI runtimes

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

Videos

See all
OLTP in the Lakehouse: Redefining Data for AI Workloads thumbnail
24:36
Europe 2026 Virtual • about 2 months ago

OLTP in the Lakehouse: Redefining Data for AI Workloads

Oleksandra Bovkun

How building an industry DBMS differs from building a research one thumbnail
30:34
World Congress 2023 • almost 3 years ago

How building an industry DBMS differs from building a research one

Markus Dreseler

Edit Your Future: Queerverse Radical AI thumbnail
31:30
LIVE • about 2 years ago

Edit Your Future: Queerverse Radical AI

Răzvan Ion

Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source thumbnail
29:50
World Congress 2026 Europe • about 2 months ago

Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source

Viktoria Semaan

Analytics in the Age of Agentic AI: A tour of ClickHouse and Langfuse thumbnail
23:38
World Congress 2026 Europe • about 2 months ago

Analytics in the Age of Agentic AI: A tour of ClickHouse and Langfuse

Hellmar Becker

Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG thumbnail
7:02
Europe 2026 Virtual • about 2 months ago

Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG

Piotr Menclewicz

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